AI for Discrete Optimization (IMEN891N, Fall 2025)
Relevant courses in other schools
Learning for discrete optimization
- Stanford University – Machine Learning for Discrete Optimization (MS&E236/CS225), Spring 2024 (by Ellen Vitercik) (website)
- University of Toronto – Machine Learning for Mathematical Optimization (MIE1666H), Fall 2021 (by Elias B. Khalil) (website)
- University of Southern California – Topics in Discrete Optimization and Learning (CSCI 699), Spring 2020 (by Bistra Dilkina) (website)
- University of Waterloo – Deep Learning in Discrete Optimization (AMS 467/667), Spring 2018, 2020 (by William Cook) (website)
Optimization under uncertainty
- TU Graz – Robust Optimization, Winter 2020 (by Stefan Lendl) (website)
- Politechnico di Milano – Robust Optimization (061652), Spring 2024 (by Erick Delage) (website)
- MIT – Robust Modeling, Optimization, and Computation (15.094), Spring 2015 (by Dimitris Bertsimas) (website)
- École nationale des ponts et chaussées – Optimization Under Uncertainty, 2023 (by Vincent Leclère) (website)
Learning for algorithm design
- Stanford University – Machine Learning for Algorithm Design (MS&E/CS 331), Spring 2023 (by Ellen Vitercik) (website)
- Columbia University – Machine Learning for Algorithm Design (IEOR8100), Fall 2020 (by Eric Balkanski) (website)
- Caltech – Data-Driven Algorithm Design (CS 159), Spring 2020 (by Yisong Yue) (website)
- MIT – Learning-Augmented Algorithms (6.890), Spring 2019 (by Konstantinos Daskalakis, Piotr Indyk) (website)
Open courses for the background knowledge
Machine learning
- Stanford University – Machine Learning with Graphs (CS224W), Fall 2024 (by Jure Leskovec) (website) YouTube
- Stanford University – Reinforcement Learning (CS234), Winter 2025 (by Emma Brunskill) (website) YouTube
- CMU – Introduction to Deep Learning (11-785), Spring 2025 (by Bhiksha Raj, Rita Singh) (website) YouTube
Optimization
- Rensselaer Polytechnic Institute – Combinatorial Optimization and Integer Programming, Spring 2021 (by John E. Mitchell) (website)
- Purdue University – Computational Optimization, Spring 2025 (by Can Li) (website) YouTube
Research collections
- Awesome ML4CO: Awesome machine learning for combinatorial optimization papers (website)
- Awesome FM4CO: Recent research papers about Foundation Models for Combinatorial Optimization (website)
- Zuse Institute Berlin (ZIB) Seminar Series: Discrete Optimization and Machine Learning (organized by Sebastian Pokutta @ ZIB) (website)
- Centrum Wiskunde & Informatica (CWI) – Reading Group on Learning Augmented Algorithms, Spring 2022 (by Antonios Antoniadis @ Twente, Daniel Dadush @ CWI, Lars Rohwedder @ Maastricht) (website)
- Algorithms with Predictions: a collection of papers (website)